Strisciuglio, Nicola

10 publications

CVPR 2025 Do ImageNet-Trained Models Learn Shortcuts? the Impact of Frequency Shortcuts on Generalization Shunxin Wang, Raymond Veldhuis, Nicola Strisciuglio

ICLR 2025 Dynamic Sparse Training Versus Dense Training: The Unexpected Winner in Image Corruption Robustness Boqian Wu, Qiao Xiao, Shunxin Wang, Nicola Strisciuglio, Mykola Pechenizkiy, Maurice van Keulen, Decebal Constantin Mocanu, Elena Mocanu

CVPR 2025 Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models Davide Berasi, Matteo Farina, Massimiliano Mancini, Elisa Ricci, Nicola Strisciuglio

CVPR 2024 Fourier-Basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification Puru Vaish, Shunxin Wang, Nicola Strisciuglio

ICCVW 2023 DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning Shunxin Wang, Christoph Brune, Raymond N. J. Veldhuis, Nicola Strisciuglio

CVPR 2023 Data-Efficient Large Scale Place Recognition with Graded Similarity Supervision María Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov

ICCV 2023 What Do Neural Networks Learn in Image Classification? a Frequency Shortcut Perspective Shunxin Wang, Raymond Veldhuis, Christoph Brune, Nicola Strisciuglio

NeurIPSW 2022 Frequency Shortcut Learning in Neural Networks Shunxin Wang, Raymond Veldhuis, Christoph Brune, Nicola Strisciuglio

NeurIPSW 2022 Visual Response Inhibition for Increased Robustness of Convolutional Networks to Distribution Shifts Nicola Strisciuglio, George Azzopardi

ECCVW 2018 Brain-Inspired Robust Delineation Operator Nicola Strisciuglio, George Azzopardi, Nicolai Petkov